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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Knudsen, T. Nielsen, A.A. |
| Copyright Year | 2004 |
| Description | Author affiliation: Geodetic Dept., National Survey & Cadastre, Copenhagen (Knudsen, T.) |
| Abstract | In order to facilitate the update of the building theme in photogrammetrically derived GIS databases, we investigate spectra, textural, and shape features of areas of aerial photos previously registered as buildings. In following steps, these features are used in a classification tree characterisation of the entire photo, and a simple classification routine (minimum Mahalanobis distance). The classification results are to he used for (1) verification of the GIS database and (2) change detection for subsequent update work. The classification trees show to be hard to prune (generalize) without large loss of precision. This indicates that the problem at hand is far from trivial: the building and background classes are hard to separate. Hence, the method described here cannot stand alone: additional algorithms focusing on different aspects of the problem (and finally combined in a fusion step) could be one way to go; another, technically more promising, but economically less viable, would be to enter high resolution height data, derived from photogrammetry or laser scanning, into the input data set |
| Starting Page | 2830 |
| Ending Page | 2833 |
| File Size | 1070642 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387422 |
| DOI | 10.1109/IGARSS.2004.1370281 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectral analysis Shape Geographic Information Systems Vegetation mapping Classification tree analysis Image databases Image segmentation Spatial databases Testing Informatics |
| Content Type | Text |
| Resource Type | Article |
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